基于神经网络法与加权模型的乡村旅游用地竞争力评价研究——以北京市密云区为例

doi:10.3969/j.issn.1004-1524.2021.08.19

浙江农业学报 ›› 2021, Vol. 33 ›› Issue (8): 1519-1528.DOI: 10.3969/j.issn.1004-1524.2021.08.19

基于神经网络法与加权模型的乡村旅游用地竞争力评价研究——以北京市密云区为例

冼炜轩¹^,²(), 尚国琲², 刘巧芹³, 刘玉¹^,^*()

1.北京农业信息技术研究中心,北京 100097
2.河北地质大学土地科学与空间规划学院,河北石家庄 050031
3.防灾科技学院生态环境学院,河北三河 065201

收稿日期:2020-11-27 出版日期:2021-08-25 发布日期:2021-08-27
通讯作者: 刘玉
作者简介:*刘玉,E-mail: liuyu@nercita.org.cn
冼炜轩(1995—),男,广东广州人,硕士研究生,主要从事土地资源、空间规划研究。E-mail: 2221262066@qq.com
基金资助:
北京市自然科学基金(9192010);河北省社会科学基金(HB18YJ011);北京市农林科学院青年科研基金(QNJJ201902)

Evaluation of rural tourism land competitiveness based on neural-network method and weighted model: a case study of Miyun District in Beijing, China

XIAN Weixuan¹^,²(), SHANG Guobei², LIU Qiaoqin³, LIU Yu¹^,^*()

1. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
2. School of Land Science and Space Planning, Hebei University of Geology, Shijiazhuang 050031, China
3. College of Ecology and Environment, Institute of Disaster Prevention, Sanhe 065201, China

Received:2020-11-27 Online:2021-08-25 Published:2021-08-27
Contact: LIU Yu

摘要/Abstract

摘要：

科学评价乡村旅游用地竞争力并识别其障碍因素是优化乡村旅游产业布局的前提和基础。以北京市密云区为例,从资源禀赋特征、区域生态环境和旅游开发条件3个维度选择13项指标,构建了基于神经网络法的旅游用地竞争力评价模型,以揭示密云区乡村旅游用地竞争力的格局。引入障碍因素诊断模型,分析主要乡村旅游用地竞争力类型的限制因素。结果表明:(1)乡村旅游用地低竞争力类以组团状形式,在密云区东南部和密云水库东北集中连片分布;中竞争力类沿“潮河轴带”“白河轴带”“安达木河轴带”和北部山区带状分布;高竞争力类以点状形式,涵盖张家坟村、司马台村、贾峪村、河北村、石城村、圣水头村、石马峪村和龙潭沟村。(2)以中竞争力类区域为例,基于主要障碍因素,将其划分为资源、环境和开发障碍型,并分别提出优化对策。研究成果可为乡村产业用地规划提供参考。

关键词: 多源数据, 神经网络法, 障碍因素诊断模型, 乡村旅游用地

Abstract:

Scientific evaluation of the competitiveness of rural tourism land and identification of its obstacles are the premise and basis for optimizing the layout of rural tourism industry, and also an effective way to achieve rural revitalization.In the present study, Miyun District of Beijing was selected as an sample. Thirteen indicators from three dimensions of resource endowment characteristics, regional ecological environment and tourism development conditions were selected to construct a tourism land competitiveness evaluation model based on neural-network method, which would help reveal the pattern of rural tourism land competitiveness in Miyun District. The diagnostic model of obstacle factors was introduced to analyze limiting factors of the competitiveness types of main rural tourism land. The results were shown as follows. (1) Low-competitiveness rural tourism land was distributed in clusters in the south of Miyun District and northeast of Miyun Reservoir. Medium-competitiveness rural tourism land was distributed along Chao River Axis Zone, Bai River Axis Zone, Andamu River Axis Zone and northern mountainous belt, with 176 units in Xin’anzhuang and Fenggezhuang Village and so on. High competitiveness rural tourism land was in the form of dots, covering the villages of Zhangjiafen, Simatai, Jiayu, Hebei, Shicheng, Shengshuitou, Shimayu and Longtangou. (2) The medium competitiveness region was divided into the resource, environment and development obstacle types based on main obstacle factors, and corresponding optimization countermeasures were put forward, respectively. The results could provide references for rural industrial land planning.

Key words: multisource data, neural-network method, diagnostic model of obstacle factors, rural tourism land

中图分类号:

S-9
F304.5

冼炜轩, 尚国琲, 刘巧芹, 刘玉. 基于神经网络法与加权模型的乡村旅游用地竞争力评价研究——以北京市密云区为例[J]. 浙江农业学报, 2021, 33(8): 1519-1528.

XIAN Weixuan, SHANG Guobei, LIU Qiaoqin, LIU Yu. Evaluation of rural tourism land competitiveness based on neural-network method and weighted model: a case study of Miyun District in Beijing, China[J]. Acta Agriculturae Zhejiangensis, 2021, 33(8): 1519-1528.

图/表 4

参考文献 24

[1]	李国旗, 金凤君, 陈娱, 等. 基于POI的北京物流业区位特征与分异机制[J]. 地理学报, 2017, 72(6):1091-1103. DOI
	LI G Q, JIN F J, CHEN Y, et al. Location characteristics and differentiation mechanism of logistics industry based on points of interest: a case study of Beijing[J]. Acta Geographica Sinica, 2017, 72(6):1091-1103.(in Chinese with English abstract)
[2]	STANSFIELD C A, RICKERT J E. The recreational business district[J]. Journal of Leisure Research, 1970, 2(4):213-225. DOI URL
[3]	BANDARA H M. Coastal land uses for tourism in Sri Lanka[J]. Conflicts and Planning Efforts, 2015, 14(1):41.
[4]	ASHWORTH G J, DIETVORST A. Tourism and spatial transformations: implications for policy and planning[J]. Annals of Tourism Research, 1997, 24(2):500-502.
[5]	WEAVER D B. Model of urban tourism for small Caribbean Islands[J]. Geographical Review, 1993, 83(2):134. DOI URL
[6]	李国兵, 田亚平. 珠三角旅游资源竞争力与旅游业发展水平的效度分析[J]. 经济地理, 2019, 39(3):218-224.
	LI G B, TIAN Y P. Validity analysis of tourism resources competitiveness and tourism development level in Pearl River Delta[J]. Economic Geography, 2019, 39(3):218-224.(in Chinese with English abstract)
[7]	吴素珍. 北京乡村旅游竞争力研究[D]. 北京: 北京工商大学, 2010.
	WU S Z. The study of competitiveness of Beijing rural tourism[D]. Beijing: Beijing Technology and Business University, 2010. (in Chinese with English abstract)
[8]	白凯, 王馨. 《旅游资源分类、调查与评价》国家标准的更新审视与研究展望[J]. 自然资源学报, 2020, 35(7):1525-1540.
	BAI K, WANG X. Renewal review and research prospect of Classification, Investigation and Evaluation of Tourism Resources for national standard of the People’s Republic of China[J]. Journal of Natural Resources, 2020, 35(7):1525-1540.(in Chinese with English abstract)
[9]	BAZ I, GEYMEN A, ER S N. Development and application of GIS-based analysis/synjournal modeling techniques for urban planning of Istanbul Metropolitan Area[J]. Advances in Engineering Software, 2009, 40(2):128-140. DOI URL
[10]	MALCZEWSKI J. GIS-based land-use suitability analysis: a critical overview[J]. Progress in Planning, 2004, 62(1):3-65. DOI URL
[11]	UY P D, NAKAGOSHI N. Application of land suitability analysis and landscape ecology to urban greenspace planning in Hanoi, Vietnam[J]. Urban Forestry & Urban Greening, 2008, 7(1):25-40.
[12]	NISAR AHAMED T R, GOPAL RAO K, MURTHY J S R. GIS-based fuzzy membership model for crop-land suitability analysis[J]. Agricultural Systems, 2000, 63(2):75-95. DOI URL
[13]	肖练练, 钟林生, 虞虎, 等. 功能约束条件下的钱江源国家公园体制试点区游憩利用适宜性评价研究[J]. 生态学报, 2019, 39(4):1375-1384.
	XIAO L L, ZHONG L S, YU H, et al. Assessment of recreational use suitability of Qianjiangyuan National Park Pilot under the zoning constraints[J]. Acta Ecologica Sinica, 2019, 39(4):1375-1384.(in Chinese with English abstract)
[14]	WEBER A. On the location of industries[M]. Chicago: The University of Chicago Press, 1929.
[15]	程波, 贾国柱. 改进AHP-BP神经网络算法研究: 以建筑企业循环经济评价为例[J]. 管理评论, 2015, 27(1):36-47.
	CHENG B, JIA G Z. Improved AHP and BP neural network model for construction companies’ circular economy evaluation[J]. Management Review, 2015, 27(1):36-47.(in Chinese with English abstract)
[16]	刘玉, 唐林楠, 潘瑜春. 村域尺度的不同乡村发展类型多功能特征与振兴方略[J]. 农业工程学报, 2019, 35(22):9-17.
	LIU Y, TANG L N, PAN Y C. Multifunctional characteristics and revitalization strategies of different types of rural development at village scale[J]. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(22):9-17.(in Chinese with English abstract)
[17]	王新越, 朱文亮. 山东省乡村旅游竞争力评价与障碍因素分析[J]. 地理科学, 2019, 39(1):147-155. DOI
	WANG X Y, ZHU W L. Analysis of rural tourism competitiveness and obstacle factors in Shandong Province[J]. Scientia Geographica Sinica, 2019, 39(1):147-155.(in Chinese with English abstract)
[18]	黄海辉. 发达国家和地区乡村旅游的发展模式探析[J]. 黑龙江对外经贸, 2011(6):112-114.
	HUANG H H. The development model of rural tourism in developed countries and regions[J]. Heilongjiang Foreign Economic Relations & Trade, 2011(6):112-114. (in Chinese with English abstract)
[19]	朱士鹏, 徐兵, 毛蒋兴. 城市生态系统健康及其障碍度评价: 以南宁市为例[J]. 安徽大学学报(自然科学版), 2015, 39(3):96-102.
	ZHU S P, XU B, MAO J X. The evaluation on urban ecosystem health and its obstacle degree: a case study on Nanning City[J]. Journal of Anhui University (Natural Science Edition), 2015, 39(3):96-102.(in Chinese with English abstract)
[20]	蒋婷. 浙江省特色小镇旅游功能评价体系构建[J]. 中国农业资源与区划, 2019, 40(6):227-232.
	JIANG T. Construction of tourism function evaluation system on characteristic towns in Zhejiang Province[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2019, 40(6):227-232.(in Chinese with English abstract)
[21]	张颖, 陈奕捷, 王道龙. 北京市休闲农业园区空间分布特征研究[J]. 中国农业资源与区划, 2016, 37(12):209-219.
	ZHANG Y, CHEN Y J, WANG D L. Study on spatial distribution characteristics of leisure agricultural park in Beijing[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2016, 37(12):209-219.(in Chinese with English abstract)
[22]	陈严武, 韦福安. 特色村镇与A级景区的空间关系及协同发展: 以广西为例[J]. 旅游学刊, 2020, 35(3):113-126.
	CHEN Y W, WEI F A. Spatial relations and coordinated development of characteristic villages and A-level scenic spots in Guangxi[J]. Tourism Tribune, 2020, 35(3):113-126.(in Chinese with English abstract)
[23]	刘倩, 张超, 马立军, 等. 基于模糊评价-三维魔方的村级生态旅游区划研究[J]. 中国农机化学报, 2019, 40(8):221-228.
	LIU Q, ZHANG C, MA L J, et al. Study on rural eco-tourism regionalization based on fuzzy evaluation-three dimensional magic cube[J]. Journal of Chinese Agricultural Mechanization, 2019, 40(8):221-228.(in Chinese with English abstract)
[24]	孙凤芝, 刘瑞, 欧阳辰姗, 等. 旅游者感知价值与行为意向关系研究: 基于民宿旅游者的视角[J]. 山东社会科学, 2020(1):126-133.
	SUN F Z, LIU R, OUYANG C S, et al. Research on the relationship between tourists’ perceived value and behavior intention: from the perspective of home-stay tourists[J]. Shandong Social Sciences, 2020(1):126-133. (in Chinese)

维度 Dimension	指标 Index	权重 Weight
资源禀赋特征	休闲旅游资源个数Number of leisure resources	0.064
Characteristics of resource endowment	休闲旅游资源丰度Abundance of leisure resources	0.174
	评价单元知名度Evaluation unit popularity	0.028
	旅游用地禀赋指数Tourism land endowment index	0.100
区域生态环境Regional ecological environment	地形位指数Topographical index	0.003
	植被覆盖度Vegetation coverage	0.087
	生态用地比例Proportion of ecological land	0.010
旅游开发条件Tourism development conditions	村域公路里程Mileage of village road	0.095
	自驾可达便利度Self driving accessibility	0.116
	骑行可达便利度Riding accessibility	0.058
	距区中心远近程度Distance to the center of the zone	0.151
	便民设施完善程度Improvement of convenience facilities	0.019
	政策优势Policy advantages	0.096

维度 Dimension	指标 Index	权重 Weight
资源禀赋特征	休闲旅游资源个数Number of leisure resources	0.064
Characteristics of resource endowment	休闲旅游资源丰度Abundance of leisure resources	0.174
	评价单元知名度Evaluation unit popularity	0.028
	旅游用地禀赋指数Tourism land endowment index	0.100
区域生态环境Regional ecological environment	地形位指数Topographical index	0.003
	植被覆盖度Vegetation coverage	0.087
	生态用地比例Proportion of ecological land	0.010
旅游开发条件Tourism development conditions	村域公路里程Mileage of village road	0.095
	自驾可达便利度Self driving accessibility	0.116
	骑行可达便利度Riding accessibility	0.058
	距区中心远近程度Distance to the center of the zone	0.151
	便民设施完善程度Improvement of convenience facilities	0.019
	政策优势Policy advantages	0.096

基于神经网络法与加权模型的乡村旅游用地竞争力评价研究——以北京市密云区为例

Evaluation of rural tourism land competitiveness based on neural-network method and weighted model: a case study of Miyun District in Beijing, China

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 4

参考文献 24

相关文章 15

编辑推荐

Metrics

本文评价

[1]	鲍洪杰, 王亦龙, 崔许锋. 乡村振兴背景下农业经营组织雇佣的减贫效应[J]. 浙江农业学报, 2021, 33(8): 1529-1541.
[2]	姚星垣, 汪卫芳. 消费者参与度与数字绿色普惠金融产品满意度[J]. 浙江农业学报, 2021, 33(8): 1542-1551.
[3]	张恒瑞, 黄天柱. 高管团队异质性对中国涉农上市企业技术创新的影响[J]. 浙江农业学报, 2021, 33(7): 1339-1346.
[4]	陈吉平, 刘国强, 刘宇荧, 傅新红. 农民专业合作社规范化评价——来自四川省果蔬类合作社的实证[J]. 浙江农业学报, 2021, 33(6): 1117-1127.
[5]	蔡俊, 周晓玉. 农户参与农地整理项目后期管护的意愿与行为转化路径——基于安徽省怀宁县4个典型镇的实证分析[J]. 浙江农业学报, 2021, 33(6): 1128-1140.
[6]	李震华, 顾益康, 刘龙青. 准公共产品视域下农民培训管理制度创新——基于浙江农民大学的调查[J]. 浙江农业学报, 2021, 33(6): 1141-1148.
[7]	苗苗, 迮寒露, 吴永华. 浙江省耕地利用转型时空演变特征分析[J]. 浙江农业学报, 2021, 33(4): 753-760.
[8]	王丽英, 丁姝羽, 刘后平. 农村产业融合与农民收入增长——基于空间效应与门槛效应的实证研究[J]. 浙江农业学报, 2021, 33(4): 761-776.
[9]	金俪雯, 刘增金, 刘爱军. 猪肉销售商可追溯体系参与行为及其影响因素——基于北京、上海、济南3市636位销售商的实证分析[J]. 浙江农业学报, 2021, 33(3): 541-552.
[10]	张莎莎, 郑循刚, 张必忠. 交通基础设施、空间溢出与农村减贫——基于面板数据的实证研究[J]. 浙江农业学报, 2021, 33(3): 553-564.
[11]	文长存, 孙玉竹. 农户对区域指数类农业附加险购买意愿的实证研究——以河北棉花种植户为例[J]. 浙江农业学报, 2021, 33(2): 346-354.
[12]	富丽莎, 秦涛, 潘焕学, 邓晶. 森林保险保费补贴政策的林业产出规模效应实证分析——基于双重差分模型与事件研究模型[J]. 浙江农业学报, 2021, 33(2): 355-368.
[13]	李海涛, 傅琳琳, 黄祖辉, 朋文欢. 农业适度规模经营的多种形式与展望[J]. 浙江农业学报, 2021, 33(1): 161-169.
[14]	董艳敏, 严奉宪. 中国农业高质量发展的时空特征与协调度[J]. 浙江农业学报, 2021, 33(1): 170-182.
[15]	胡晨沛, 李辉尚, 郭昕竺. 1978—2017年中国区域农业经济发展差距与结构特征[J]. 浙江农业学报, 2020, 32(12): 2253-2260.